Low Cost Compression Techniques Applied To Encrypted Data Distribution System

Condition monitoring depends on information that is extracted from data gathered through a well-defined, yet dispersed, sensor network. The combination of embedded, self validating sensors, the development of a widely dispersed self-organizing sensorarchitecture and the intelligent agent software to facilitate the development and design of an emergent, self aware monitoring system will make available an up-to-date and accurate status, prognostic health assessment, diagnostic, and maintenanceprocedures. Because of the large number of on-board sensors and the fact that they will be widely dispersed, development of communications and controls technologies capable of coordinating these resources is needed. The intent of this research is todevelop the necessary and sufficient connectivity to allow stable operation of a shipboard prognostic and health monitoring system and to formulate it as a dissipative system, able to recover from anomalies and disturbances without compromising missioncompliance. We propose to develop a system where dynamics and stability are predicated on changing optimality and that cooperating agents form the basis for such rational behavior. Furthermore, for a system of operating agents to be successful, acommunication architecture must be developed that allows for the free flow of data and information unencumbered by any spatial constraints.A successful approach will result in a blueprint for development of a robust, virtually indestructible network thatwill serve as a high-reliability communications link and sensor network for emergency and crisis management. It is expected to have wide application in areas such as Navy ships, hospitals, emergency response centers, nuclear plants, and any high valueindustrial asset or process.